Study Buddy a GPT-4 powered robo-tutor and research tool

Hacker News

Hey everyone, I wanted to share a tool I've been working on after coming back to school after a few years. I was using Chat-GPT to help outline my studies, deep dive into concepts, and be an on-call tutor for me. I wanted some more study-focused features to help me do this easier so I built an app. It's free and I'm hoping to get some users and feedback to further develop it as a useful tool. Ask Anything: Stuck on a calculus problem? Need clarification on a historical event? Just ask! Outline: Want bullet points, Have it give you an outline of a topic. Quiz Yourself: Have it quiz you on the information you just looked up. Store Organize and Export: You can select text from the chat, reorder, and export as a pdf or copy to your clipboard to throw into another text document. Hope you like it! You can find it here: https://study-buddy.silversoftwerks.com/

Visit product View on Hacker NewsOct 10, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, using · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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